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Quantitative Bioreactor Monitoring of Intracellular Bacterial Metabolites in Clostridium autoethanogenum Using Liquid Chromatography–Isotope Dilution Mass Spectrometry

Safo, Laudina; Abdelrazig, Salah; Grosse-Honebrink, Alexander; Millat, Thomas; Henstra, Anne M.; Norman, Rupert; Thomas, Neil R.; Winzer, Klaus; Minton, Nigel P.; Kim, Dong-Hyun; Barrett, David A.

Quantitative Bioreactor Monitoring of Intracellular Bacterial Metabolites in Clostridium autoethanogenum Using Liquid Chromatography–Isotope Dilution Mass Spectrometry Thumbnail


Authors

Laudina Safo

Salah Abdelrazig

Alexander Grosse-Honebrink

Thomas Millat

Anne M. Henstra

Rupert Norman

NEIL THOMAS neil.thomas@nottingham.ac.uk
Professor of Medicinal and Biological Chemistry

David A. Barrett



Abstract

We report a liquid chromatography–isotope dilution mass spectrometry method for the simultaneous quantification of 131 intracellular bacterial metabolites of Clostridium autoethanogenum. A comprehensive mixture of uniformly 13C-labeled internal standards (U-13C IS) was biosynthesized from the closely related bacterium Clostridium pasteurianum using 4% 13C–glucose as a carbon source. The U-13C IS mixture combined with 12C authentic standards was used to validate the linearity, precision, accuracy, repeatability, limits of detection, and quantification for each metabolite. A robust-fitting algorithm was employed to reduce the weight of the outliers on the quantification data. The metabolite calibration curves were linear with R2 ≥ 0.99, limits of detection were ≤1.0 μM, limits of quantification were ≤10 μM, and precision/accuracy was within RSDs of 15% for all metabolites. The method was subsequently applied for the daily monitoring of the intracellular metabolites of C. autoethanogenum during a CO gas fermentation over 40 days as part of a study to optimize biofuel production. The concentrations of the metabolites were estimated at steady states of different pH levels using the robust-fitting mathematical approach, and we demonstrate improved accuracy of results compared to conventional regression. Metabolic pathway analysis showed that reactions of the incomplete (branched) tricarboxylic acid “cycle” were the most affected pathways associated with the pH shift in the bioreactor fermentation of C. autoethanogenum and the concomitant changes in ethanol production.

Citation

Safo, L., Abdelrazig, S., Grosse-Honebrink, A., Millat, T., Henstra, A. M., Norman, R., …Barrett, D. A. (2021). Quantitative Bioreactor Monitoring of Intracellular Bacterial Metabolites in Clostridium autoethanogenum Using Liquid Chromatography–Isotope Dilution Mass Spectrometry. ACS Omega, 6, 13518-13526. https://doi.org/10.1021/acsomega.0c05588

Journal Article Type Article
Acceptance Date Feb 3, 2021
Online Publication Date May 20, 2021
Publication Date May 20, 2021
Deposit Date Feb 12, 2021
Publicly Available Date May 20, 2021
Journal ACS Omega
Electronic ISSN 2470-1343
Peer Reviewed Peer Reviewed
Volume 6
Pages 13518-13526
DOI https://doi.org/10.1021/acsomega.0c05588
Public URL https://nottingham-repository.worktribe.com/output/5318315
Publisher URL https://pubs.acs.org/doi/abs/10.1021/acsomega.0c05588

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